Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning.

ABSTRACT: The choroid layer is a vascular layer in human retina and its main function is to provide oxygen and support to the retina. Various studies have shown that the thickness of the choroid layer is correlated with the diagnosis of several ophthalmic diseases. For example, diabetic macular edema (DME) is a leading cause of vision loss in patients with diabetes. Despite contemporary advances, automatic segmentation of the choroid layer remains a challenging task due to low contrast, inhomogeneous intensity, inconsistent texture and ambiguous boundaries between the choroid and sclera in Optical Coherence Tomography (OCT) images. The majority of currently implemented methods manually or semi-automatically segment out the region of interest. While many fully automatic methods exist in the context o

SUBMITTER: Masood S 

PROVIDER: S-EPMC6395677 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature